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1
Learning Disentangled Representations of Negation and Uncertainty ...
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2
Natural language processing applied to mental illness detection: a narrative review
In: NPJ Digit Med (2022)
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3
Investigating Text Simplification Evaluation ...
Abstract: Modern text simplification (TS) heavily relies on the availability of gold standard data to build machine learning models. However, existing studies show that parallel TS corpora contain inaccurate simplifications and incorrect alignments. Additionally, evaluation is usually performed by using metrics such as BLEU or SARI to compare system output to the gold standard. A major limitation is that these metrics do not match human judgements and the performance on different datasets and linguistic phenomena vary greatly. Furthermore, our research shows that the test and training subsets of parallel datasets differ significantly. In this work, we investigate existing TS corpora, providing new insights that will motivate the improvement of existing state-of-the-art TS evaluation methods. Our contributions include the analysis of TS corpora based on existing modifications used for simplification and an empirical study on TS models performance by using better-distributed datasets. We demonstrate that by improving ... : 7 pages, 3 figures, 1 table ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2107.13662
https://dx.doi.org/10.48550/arxiv.2107.13662
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4
Investigating Text Simplification Evaluation ...
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5
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
In: Proceedings of the 20th Workshop on Biomedical Language Processing (2021)
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6
BioVAE: a pre-trained latent variable language model for biomedical text mining
In: Bioinformatics (2021)
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7
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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8
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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9
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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10
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks ...
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11
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network ...
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12
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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13
Improving reference prioritisation with PICO recognition
Brockmeier, Austin J.; Ju, Meizhi; Przybyła, Piotr. - : BioMed Central, 2019
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14
Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
Wang, Yifei; Ananiadou, Sophia; Tsujii, Jun’ichi. - : BioMed Central, 2019
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15
Identification of research hypotheses and new knowledge from scientific literature ...
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16
Identification of research hypotheses and new knowledge from scientific literature ...
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17
Hypothesis, analysis and synthesis: it’s all Greek to me! ...
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18
Constructing a biodiversity terminological inventory
Nguyen, Nhung T. H.; Soto, Axel J.; Kontonatsios, Georgios. - : Public Library of Science, 2017
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19
Distributed Document and Phrase Co-embeddings for Descriptive Clustering
Kontonatsios, Georgios; Sato, Motoki; Mu, Tingting. - : Association for Computational Linguistics, 2017
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20
Enriching news events with meta-knowledge information [<Journal>]
Thompson, Paul [Verfasser]; Nawaz, Raheel [Sonstige]; McNaught, John [Sonstige].
DNB Subject Category Language
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